Local LLMOps

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May 1, 2024 5 minute read

Local LLMOps is the practice of developing and maintaining large language models (LLMs) on local infrastructure, such as a personal computer or a small cluster of servers. LLMs are a type of artificial intelligence that can understand and generate human-like text, and they can be used for a variety of tasks, such as natural language processing, machine translation, and chatbots.

Why Learn Local LLMOps?

There are several reasons why you might want to learn Local LLMOps:

Curiosity: LLMs are a fascinating new technology, and Local LLMOps gives you the opportunity to learn how they work and how to use them.
Academic requirements: Local LLMOps may be a requirement for some academic programs, such as computer science or data science.
Career development: LLMs are becoming increasingly popular in the tech industry, and Local LLMOps skills can give you a competitive edge in the job market.

Courses on Local LLMOps

There are many ways to learn about Local LLMOps, including online courses. Here are a few examples:

Path to Local LLMOps

Take the first step.

We've curated two courses to help you on your path to Local LLMOps. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Databricks to Local LLMs

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Foundations of Local Large Language models

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Local LLMOps.